Analytics Vidhya

JULY 23, 2019

Introduction Chatbots are the most common application of Natural Language Processing (NLP). Organizations are scrambling to integrate chatbots into their daily functions to enhance. The post DataHack Radio #24: Exploring and Designing Chatbots with RASA’s Justina Petraityt? appeared first on Analytics Vidhya.

Analytics 245

Analytics 245

Corinium

JULY 23, 2019

Corinium’s data analytics events are designed to provide deep value to senior leaders and decision makers who are responsible for driving the strategic growth of data analytics within their organisations. Cheryl Yong , Senior Conference Producer conducted a brief interview with. Gary Zavaleta , Director of Data & Analytics at Global Hotel Alliance. -.

Data Analytics 150

Data Analytics Analytics 150

David Menninger's Analyst Perspectives

JULY 23, 2019

Summit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies. Under new leadership, Summit 2019 showcased the direction Information Builders is moving in the next couple of years.

Technology 133

Technology IoT Data Integration Big Data 133

Smart Data Collective

JULY 23, 2019

C rypto trading is a risky activity that may lead to substantial losses. The author doesn’t take responsibility for any consequences of the readers’ deals. What do you think about expert steel-makers? What about professional truck drivers? How do committed teachers feel? All of them succeed because they dedicate everything they have to one occupation or one goal.

Recreation/Entertainment 75

Recreation/Entertainment Risk Management Marketing Risk 75

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Andrew White

JULY 23, 2019

Many clients ask us about case studies and what great stories we have seen or heard. Here is a snapshot from our growing new set of data and analytics case studies. D&A Strategy: Continuously Market-Tested Data & Analytics Strategy (UrbanShopping*) 710519. Analytics, BI and Data Science: Peer-Based Analytics Learning (ABB) 710371. Redefining Analysts as Decision Experts (Philips) 709554.

Snapshot 73

Snapshot Analytics Machine Learning Data Quality 73

Jet Global

JULY 23, 2019

You know when they say, ‘everything’s bigger in Texas?’ insightsoftware’s Excelapalooza, one of the largest Microsoft Excel learning events in the country, is no exception. Don’t miss the opportunity to join 4 Microsoft MVPs for 3 days of Excel training from September 16th to 18th near Dallas, TX. Why Attend Excelapalooza? If you use Microsoft Excel, or any Jet Global solution, then Excelapalooza is the conference for you!

Dashboards 71

Dashboards Reporting Visualization Data Warehouse 71

Smarten

JULY 23, 2019

What is Predictive Analytics and How Can it Help My Business? What is predictive analytics? Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise. Predictive Modeling allows users to test theories and hypotheses and develop the best strategy.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

Jedox

JULY 23, 2019

You do not have to be a data scientist to recognize the impact of technology on FP&A is and will continue to be significant. If you are still skeptical, have a look at a few blogs written by Lance Rubin where he disrupted his own role. One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset.

Technology 52

Technology Forecasting Finance Data-driven 52

Insight

JULY 23, 2019

Image used with permission from [link] Have you ever had a new Python object that you wanted to quickly familiarize yourself with? Or maybe you have a familiar object and you’re looking for that one particular method, but you don’t know how to describe it to Google. I frequently run into this issue in my data science workflow with complex objects in libraries, like TensorFlow.

Testing 55

Testing Data Science IT Interactive 55

Depict Data Studio

JULY 23, 2019

I met Sara DeLong when I spoke at her organization last year. I previously invited her to write about the 30:3:1 approach to reporting. Sara’s work continues to impress me every time. Check out her latest tutorial, which is all about report redesign strategies that can be accomplished with everyday software you already have. –Ann. —– You know the document.

Reporting 45

Reporting Visualization Strategy Testing 45

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Jet Global

JULY 23, 2019

We all know that data is the key to actionable decision making. In a fast-paced job like sales, you are surrounded by it. From gathering customer data to monitoring sales status to tracking goals, salespeople are collecting and using data at every possible minute. The challenge with having all of this data at your fingertips is organizing it. Without the right strategy and business intelligence tool in place, you are not able to derive meaningful insights from the data you work so hard to accumu

Sales 74

Sales Dashboards Metrics KPI 74

DataRobot

JULY 23, 2019

In February of this year, President Trump issued an important executive order that directs federal agencies to help maintain U.S. leadership in artificial intelligence research, development, and deployment. The order provides a five-point coordinated government strategy. It directs agencies to invest in AI research, develop technical standards, train Americans in the new skills they will need for the jobs of the future, police AI applications to protect civil liberties, and to open world markets

Strategy 71

Strategy Marketing IT 71